Результаты

Allstate is currently developing automated methods of predicting the cost, and hence severity, of claims. In this recruitment challenge, Kagglers are invited to show off their creativity and flex their technical chops by creating an algorithm which accurately predicts claims severity. Aspiring competitors will demonstrate insight into better ways to predict claims severity for the chance to be part of Allstate’s efforts to ensure a worry-free customer experience.

Santander is challenging Kagglers to predict which products their existing customers will use in the next month based on their past behavior and that of similar customers. With a more effective recommendation system in place, Santander can better meet the individual needs of all customers and ensure their satisfaction no matter where they are in life.

Knowledge base queries typically produce a list of entities. For reasons similar as in full-text search, it is usually desirable to rank these entities. A basic ingredient in such a ranking are relevance scores for individual triples. Task: given a triple from a "type-like" relation, compute a score that measures the relevance of the statement expressed by the triple compared to other triples from the same relation.

Wikidata is the new, large-scale knowledge base of the Wikimedia Foundation which can be edited by anyone. Its knowledge is increasingly used within Wikipedia as well as in all kinds of information systems, which imposes high demands on its integrity. Nevertheless, Wikidata frequently gets vandalized, exposing all its users to the risk of spreading vandalized and falsified information.
Task: given a Wikidata revision, compute a vandalism score denoting the likelihood of this revision beeing vandalism (or similarly damaging).

Numerai is a global artificial intelligence tournament to predict the stock market.
In December 2015, we created the world’s first encrypted data science tournament for stock market predictions. Since then, data scientists have submitted 4,611,535,075 equity price predictions.
The most accurate and original machine learning models from the world’s best data scientists are synthesized into a collective artificial intelligence that controls the capital in Numerai’s hedge fund.
We reward outstanding contributions from the data science community with Bitcoin.

Currently, Outbrain pairs relevant content with curious readers in about 250 billion personalized recommendations every month across many thousands of sites. In this competition, Kagglers are challenged to predict which pieces of content its global base of users are likely to click on. Improving Outbrain’s recommendation algorithm will mean more users uncover stories that satisfy their individual tastes.

Economic opportunity depends on the ability to deliver singularly accurate forecasts in a world of uncertainty. By accurately predicting financial movements, Kagglers will learn about scientifically-driven approaches to unlocking significant predictive capability. Two Sigma is excited to find predictive value and gain a better understanding of the skills offered by the global data science crowd.

Nearly half of the world depends on seafood for their main source of protein. In the Western and Central Pacific, where 60% of the world’s tuna is caught, illegal, unreported, and unregulated fishing practices are threatening marine ecosystems, global seafood supplies and local livelihoods. The Nature Conservancy is working with local, regional and global partners to preserve this fishery for the future.